Orientation selectivity is a systematic dependence of a visual neuron's response on the axis of a bar, edge or stripe pattern presented in its receptive field, under specified stimulus conditions. Here the angle measures the stripe axis from horizontal: is horizontal and vertical. An axis has no arrow, so and describe the same orientation. A preference for one direction of movement across that axis is an additional property; the 1962 recordings included both equal and unequal responses to opposite movements. [ref]
A particularly clear experiment using extracellular single-unit recording appears in the 1959 paper, Figures 2–3. A bright slit was centered on the same receptive field and rotated through successive angles; each presentation lasted one second. The vertical slit strongly increased the extracellularly recorded spike train, whereas the horizontal slit was ineffective. Small-spot tests had identified ON and OFF receptive-field subregions, with a central ON region and opposing flanks: rotation illuminated less of the center and more of the flanks. Geometry and location therefore mattered together. These dimensions belong to that recorded unit, not to every neuron. [ref]
An orientation tuning curve summarizes a controlled angle sweep. Keep location, size and visual contrast fixed; for a stripe pattern also specify spatial frequency and phase. The same signed spatial filter model of a simple cell can produce strong orientation selectivity and strong dependence on phase, as the following original toy illustrates. Its smooth curves are calculated predictions, not digitized or invented biological measurements.
Figure 1. . A chosen Gaussian function times a cosine supplies the signed filter. At fixed phase its normalized output peaks for vertical stripes; shifting the same stripes changes the signed drive and the rectified output. The angle labels refer to the stripe axis, perpendicular to the direction in which brightness varies. Spatial units and all parameters are arbitrary; curves use an infinite-domain integral, while the small image panels show only a crop. See signed spatial filter model of a simple cell for the calculation. Details.

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